How to Use the Sharpei MCP in CrewAI

Q: Can I use crewai for end-to-end application provisioning with Sharpei?

Yes. You can define a sequence: Agent 1 uses createapplication, and when that task is done, it passes the resulting ID to Agent 2, which calls getdocument.

Q: If I need to track subscription details with Sharpei using the crewai client, what data type should I expect?

You'll be working with subscription records. The agents can work together: one lists them via listsubscriptions, and another pulls granular data via getsubscription.

Autonomous e-commerce operations. Multi-agent collaboration for the crewai client.

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Setup Sharpei with CrewAI

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Coordinating App Lifecycle Management

Set up a team where Agent A calls `list_applications` to gather all app IDs. Agent B then takes those IDs and runs `get_application` on each one. This collaborative approach ensures every piece of data is checked by specialized roles in the crewai framework.

Automating Webhook Audits

Assign a dedicated agent to manage webhooks. This agent uses `list_webhooks` to get an inventory, and another agent checks each hook's status using `get_verification_status`. It’s autonomous monitoring—no human intervention needed for the audit.

Multi-Step Resource Fetching

You can build a workflow that first runs `list_subscriptions` to identify all active subscriptions. A second agent then uses those list results and calls `get_subscription` on critical accounts, building a complete report.

Setup guide

Set up Sharpei MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Sharpei tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Sharpei Analyst",
    goal="Access and analyze Sharpei data via MCP.",
    backstory="Expert analyst with direct Sharpei access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Sharpei transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Sharpei Analyst",
        goal="Access and analyze Sharpei data via MCP.",
        backstory="Expert analyst with direct Sharpei access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Sharpei transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Sharpei. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Sharpei MCP in CrewAI

It assigns tasks to multiple agents at once. You can have Agent A run `check_sharpei_status` while Agent B simultaneously calls `list_applications`. The collaboration speeds up resource gathering.

Yes. You can define a sequence: Agent 1 uses `create_application`, and when that task is done, it passes the resulting ID to Agent 2, which calls `get_document`.

It does. You can set up a 'System Auditor' agent whose sole job is running `list_applications`, `list_subscriptions`, and `list_webhooks` sequentially to build a complete inventory.

You can create an 'Information Retrieval' agent. This agent uses `get_documents` to list available records, and then another agent executes `get_document` for specific IDs.

You'll be working with `subscription` records. The agents can work together: one lists them via `list_subscriptions`, and another pulls granular data via `get_subscription`.

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